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Smart Riding with IoT Helmet: A Step Towards Road Safety

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Proceedings of the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022) (SoCPaR 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 648))

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Abstract

The majority of the younger population is rapidly choosing two-wheelers as their preferred mode of transportation since they frequently link riding with excitement and adventure. Even while its popularity is growing, it is still one of the most dangerous forms of communication. Numerous accidents are reported each year as a result of excessive speeding, hasty overtakes, drunk driving, and poor visibility during bad weather. Compared to a car crash, there is a substantially higher chance of fatalities in case of a bike accident since riders are more likely to sustain life-threatening injuries like head trauma. Therefore, a smart helmet model based on the Internet of Things (IoT) is suggested to overcome the aforementioned issues. In order to handle the input data that are gathered with the aid of various sensors, an Arduino Uno is employed as a microcontroller. The smart helmet prototype has a cost-effective, straightforward, and consistent alcohol detection feature, an over speed alarm feature, and an obstacle detection feature.

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Acknowledgements

The authors would like to acknowledge Assam Rajiv Gandhi University of Cooperative Management (ARGUCOM), Sivasagar for providing necessary facilities for the research work.

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Authors and Affiliations

  1. School of Innovation Technology, Assam Rajiv Gandhi University of Cooperative Management, Sivasagar, Assam, India

    Chiranjib Kalita & Kuntala Boruah

Authors
  1. Chiranjib Kalita
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  2. Kuntala Boruah
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Corresponding author

Correspondence to Kuntala Boruah .

Editor information

Editors and Affiliations

  1. Faculty of Computing and Data Science, FLAME University, Pune, Maharashtra, India

    Ajith Abraham

  2. University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland

    Thomas Hanne

  3. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs, Auburn, AL, USA

    Niketa Gandhi

  4. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs, Mala, Kerala, India

    Pooja Manghirmalani Mishra

  5. Computer Science and Engineering Department, Thapar Institute of Engineering and Technology, Patiala, Punjab, India

    Anu Bajaj

  6. Université Paris-Est Créteil, Créteil, France

    Patrick Siarry

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Kalita, C., Boruah, K. (2023). Smart Riding with IoT Helmet: A Step Towards Road Safety. In: Abraham, A., Hanne, T., Gandhi, N., Manghirmalani Mishra, P., Bajaj, A., Siarry, P. (eds) Proceedings of the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022). SoCPaR 2022. Lecture Notes in Networks and Systems, vol 648. Springer, Cham. https://doi.org/10.1007/978-3-031-27524-1_54

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